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Electrical Signature Analysis Based Condition Monitoring and Diagnostics Techniques for Wind Turbines

机译:基于电气签名分析的风力涡轮机的状态监测与诊断技术

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摘要

Wind power has become the most important component of renewable energy with advances in technology in recent years. Reducing operations and maintenance cost effectively and detecting the fault timely for wind turbines are critical to expand wind power use. Due to difficult access and harsh environment, offshore wind turbines have more urgent need for reducing operations and maintenance costs. This paper reviews typical failure modes of wind turbines and compares condition monitoring and diagnostics techniques for wind turbines based on electrical signature analysis with conventional analysis. With less demand for sensors, electrical signature analysis techniques is the key to promote wind industry.
机译:近年来,风电已成为可再生能源的最重要组成部分。有效地减少操作和维护成本,并检测风力涡轮机的故障对于扩展风力电力是至关重要的。由于困难的访问和苛刻的环境,海上风力涡轮机更迫切需要减少运营和维护成本。本文评估了风力涡轮机的典型故障模式,并基于常规分析对风力涡轮机的状态监测和诊断技术。随着对传感器的需求较少,电气签名分析技术是促进风力行业的关键。

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